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. CCA Postdoctoral Associates receive a salary of $50,000, health benefits, a private office, and administrative support. Fellows normally teach 1 undergraduate course during their fellowship year. Since
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. CCA Postdoctoral Associates receive a salary of $50,000, health benefits, a private office, and administrative support. Fellows normally teach 1 undergraduate course during their fellowship year. Since
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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for experiential learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of applied research and
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(RBHS). The primary purpose of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state
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about science, and able to learn independently. Experience with data analysis software (e.g., MATLAB, Python) and research platforms (e.g., REDCap). Equipment Utilized Microsoft Word, Excel, PowerPoint
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, pharmacological and chemogenetic experiments in rodents to delineate mechanisms underlying drug abuse. Conduct conditioned place preference, and learning and memory tasks, intracerebral infusions, and
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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an independent academic research career. Works with a Teaching Mentor at INSPIRE Partner School to teach and mentor undergraduate student, in support of developing an independent academic research career. Minimum